Authors: Rafael Berlanga, Ernesto Jimenez-Ruiz, Victoria Nebot, Ismael Sanz
Addresses: Departament de Llenguatges i Sistemes Informatics, Universitat Jaume I, Castellon, Spain. ' Departament de Llenguatges i Sistemes Informatics, Universitat Jaume I, Castellon, Spain. ' Departament de Llenguatges i Sistemes Informatics, Universitat Jaume I, Castellon, Spain. ' Departament d'Enginyeria i Ciencia dels Computadors, Universitat Jaume I, Castellon, Spain
Abstract: This paper presents a method for semi-automatically building tailored application ontologies from a set of data acquisition forms. Such ontologies are intended to facilitate the integration of very heterogeneous data generation processes and their linkage to well-known external resources. The resulting tool is being applied to the medical domain, where a wide variety of knowledge and linguistic resources are available. The proposed method consists of first inferring the implicit structure of the forms and then semantically annotating all their textual elements. Finally, by applying a set of patterns over the form inferred structure, the tool generates the ontology axioms that describe it. Our initial results demonstrate that the approach can perform effectively.
Keywords: electronic form analysis; ontology extraction; biomedical information integration; application ontologies; data acquisition forms; semantic annotation; semantics.
International Journal of Computer Applications in Technology, 2010 Vol.39 No.4, pp.224 - 233
Available online: 12 Oct 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article